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        <title>Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres</title>
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    <name type="personal">
        <namePart type="given">Yang</namePart>
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            <title>Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019</title>
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        <name type="personal">
            <namePart type="given">Amir</namePart>
            <namePart type="family">Zeldes</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Debopam</namePart>
            <namePart type="family">Das</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Erick</namePart>
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            <namePart type="given">Juliano</namePart>
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            <namePart type="family">Antonio</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Recent research on discourse relations has found that they are cued not only by discourse markers (DMs) but also by other textual signals and that signaling information is indicative of genres. While several corpora exist with discourse relation signaling information such as the Penn Discourse Treebank (PDTB, Prasad et al. 2008) and the Rhetorical Structure Theory Signalling Corpus (RST-SC, Das and Taboada 2018), they both annotate the Wall Street Journal (WSJ) section of the Penn Treebank (PTB, Marcus et al. 1993), which is limited to the news domain. Thus, this paper adapts the signal identification and anchoring scheme (Liu and Zeldes, 2019) to three more genres, examines the distribution of signaling devices across relations and genres, and provides a taxonomy of indicative signals found in this dataset.</abstract>
    <identifier type="citekey">liu-2019-beyond</identifier>
    <identifier type="doi">10.18653/v1/W19-2710</identifier>
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        <date>2019-06</date>
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            <start>72</start>
            <end>81</end>
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%0 Conference Proceedings
%T Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres
%A Liu, Yang
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F liu-2019-beyond
%X Recent research on discourse relations has found that they are cued not only by discourse markers (DMs) but also by other textual signals and that signaling information is indicative of genres. While several corpora exist with discourse relation signaling information such as the Penn Discourse Treebank (PDTB, Prasad et al. 2008) and the Rhetorical Structure Theory Signalling Corpus (RST-SC, Das and Taboada 2018), they both annotate the Wall Street Journal (WSJ) section of the Penn Treebank (PTB, Marcus et al. 1993), which is limited to the news domain. Thus, this paper adapts the signal identification and anchoring scheme (Liu and Zeldes, 2019) to three more genres, examines the distribution of signaling devices across relations and genres, and provides a taxonomy of indicative signals found in this dataset.
%R 10.18653/v1/W19-2710
%U https://aclanthology.org/W19-2710
%U https://doi.org/10.18653/v1/W19-2710
%P 72-81

Markdown (Informal)

[Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres](https://aclanthology.org/W19-2710) (Liu, NAACL 2019)

• Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres (Liu, NAACL 2019)

ACL

• Yang Liu. 2019. Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 72–81, Minneapolis, MN. Association for Computational Linguistics.